This document discusses recommender systems at Booking.com. It notes that Booking.com has over 28 million listings, 5.6 million homes and apartments, and serves over 1.5 million room nights per day. It discusses that recommender systems are complex, as they must consider the target audience, framing, metrics, data used, and how to define user satisfaction. Recommender systems are also hard, as they must provide recommendations in under 10 milliseconds while accommodating availability and cold start issues. The document emphasizes that offline metrics are just a health check, and that experiments must be run to discover causal effects. It stresses the importance of latency, UX, simplicity over complexity, and moving beyond simple ranking to augmented